Prompt
A prompt template that simply passes through the input as a heading.
This AI workflow analyzes any company in depth by researching public data and documents, covering market, team, products, investments, and more. It synthesizes findings into a structured report and automatically exports results to a Google Sheet for further use. Ideal for sales, marketing, and investment research teams.

Flows
A prompt template that simply passes through the input as a heading.
A prompt template that creates a heading with 'The company' and includes the input.
Prompt for extracting company overview, history, and achievements, with sources.
Prompt for extracting the company's problem and solution.
Prompt for extracting target market, opportunities, and competition information.
Prompt for extracting a list of team members and their roles by searching online.
Prompt for extracting company products, alternatives, and competitive advantages.
Prompt for extracting investment and fundraising details of a company.
Prompt for extracting unit economics, revenue, and traction data.
Prompt for extracting go-to-market, business model, and timing information.
Prompt for extracting company’s impact on climate, especially related to greenhouse gas emissions.
Prompt for extracting scalability, defensibility, and key risks about the company.
Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.
The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.
The Message Widget component displays custom messages within your workflow. Ideal for welcoming users, providing instructions, or showing any important information, it supports Markdown formatting and can be set to appear only once per session.
Discover the Chat Output component in FlowHunt—finalize chatbot responses with flexible, multi-part outputs. Essential for seamless flow completion and creating advanced, interactive AI chatbots.
Learn how FlowHunt's Prompt component lets you define your AI bot’s role and behavior, ensuring relevant, personalized responses. Customize prompts and templates for effective, context-aware chatbot flows.
The SelfManaged Task component enables users to define and execute autonomous tasks within a workflow. Specify a clear task description, expected outcome, and assign an agent to manage execution—ideal for building structured, hierarchical automation in your flows.
Unlock advanced collaboration in FlowHunt with the Self-Managed Crew component. Coordinate multiple AI agents under a manager agent to autonomously handle complex workflows and hierarchical tasks, maximizing efficiency and scalability.
The AI Agent component in FlowHunt empowers your workflows with autonomous decision-making and tool-using capabilities. It leverages large language models and connects to various tools to solve tasks, follow goals, and provide intelligent responses. Ideal for building advanced automations and interactive AI solutions.
FlowHunt supports dozens of text generation models, including models by OpenAI. Here's how to use ChatGPT in your AI tools and chatbots.
FlowHunt supports dozens of AI models, including Google Gemini. Learn how to use Gemini in your AI tools and chatbots, switch between models, and control advanced settings like tokens and temperature.
FlowHunt's GoogleSearch component enhances chatbot accuracy using Retrieval-Augmented Generation (RAG) to access up-to-date knowledge from Google. Control results with options like language, country, and query prefixes for precise and relevant outputs.
Unlock web content in your workflows with the URL Retriever component. Effortlessly extract and process the text and metadata from any list of URLs—including web articles, documents, and more. Supports advanced options like OCR for images, selective metadata extraction, and customizable caching, making it ideal for building knowledge-rich AI flows and automations.
The Create Data component enables you to dynamically generate structured data records with a customizable number of fields. Ideal for workflows that require the creation of new data objects on the fly, it supports flexible field configuration and seamless integration with other automation steps.
The Parse Data component transforms structured data into plain text using customizable templates. It enables flexible formatting and conversion of data inputs for further use in your workflow, helping to standardize or prepare information for downstream components.
Easily generate new Google Sheets directly within your workflow. The Create Google Sheet component lets you input structured data and instantly create spreadsheets, making it simple to automate data collection, reporting, or sharing results. Integrate with other components to streamline your business and productivity tasks.
Effortlessly chat with 2.4M scholarly articles using FlowHunt's ArXiv Tool and AI Agents. Revolutionize your research by matching queries with concise responses from the ArXiv database and enhance your chatbot with customizable flows.
Flow description
This workflow is designed to automate and scale the process of company analysis, particularly for startups or companies under research or investment consideration. It leverages AI agents, prompt engineering, web search, data retrieval, and structured data export to Google Sheets. The flow takes a company name as input and systematically gathers, analyzes, and structures a wide range of information about the company from public and uploaded sources.
Prompt Templates: The workflow uses multiple prompt templates, each tailored to extract a specific aspect of company information, such as:
Contextual Data: Uploaded files (e.g. company presentations, pitch decks) are processed and their content is made available as additional context to enhance the accuracy of the analysis.
Automated Web Research: AI agents utilize Google Search to find public information, news, and profiles related to the company. They also retrieve and process the content of found URLs.
| Field | Description |
|---|---|
| The company | Company overview, history, achievements |
| Problem & Solution | Problem addressed, solution description |
| Market | Target segment, market size, competition |
| Team | List and roles of key team members |
| Products and Services | Main products/services, alternatives |
| Investments | Funding details, investors, fundraising |
| Go To Market | Distribution, business model, timing |
| Economics | Cost structure, revenue, traction |
| Climate Impact | Environmental impact |
| Scalability, Risks… | Scalability, risks, defensibility |
Google Sheets Automation: An AI agent (with a “Google Sheets expert” backstory) takes the structured data and automatically generates a Google Sheets file, making it easy to export, share, and analyze the results in a familiar format.
Output Display: The final output, including links to the generated Google Sheets and text summaries, is displayed in the chat interface.
Parallel Task Execution: By splitting the analysis into modular prompts and delegating them to crews of AI agents, the workflow can analyze multiple companies or multiple aspects of a company in parallel, significantly reducing manual effort and turnaround time.
Consistent, Comprehensive Outputs: The use of structured prompts ensures that each analysis is thorough and covers all critical dimensions, minimizing information gaps or subjective bias.
Dynamic Data Gathering: By integrating web search and document retrieval, the system can always access the most recent public information alongside any internal documents.
Seamless Export: Automated generation of Google Sheets files enables easy scaling to batch analyses and integration with existing workflows for reporting, investment evaluation, or due diligence.
Adaptable & Extensible: New analysis areas can be added simply by creating new prompt templates and tasks, making the system flexible for evolving needs.
| Component | Role |
|---|---|
| Chat Input/Output | User interaction, data entry, and results display |
| Message Widget | Welcome and guidance messages |
| Prompt Templates | Structured extraction of company information |
| File/URL Retrievers | Add context from web or uploaded files |
| AI Agents | Execute research and analytical tasks |
| Self-Managed Crews | Organize agents for parallel, scalable execution |
| Create Data | Aggregate all findings into a structured format |
| Google Sheets Export | Automate export of results for further use |
This workflow transforms a manual, time-consuming company analysis task into an automated, scalable, and highly repeatable process. By combining AI-driven research, structured prompt engineering, and seamless data export, it empowers users to generate rich, actionable company profiles with minimal effort. This is invaluable for any organization needing to process large volumes of company data quickly and consistently.
We help companies like yours to develop smart chatbots, MCP Servers, AI tools or other types of AI automation to replace human in repetitive tasks in your organization.
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